I am a Research Fellow in the Statistics Section, working under Dr Andrew Duncan. My research interests lie in Bayesian inference and machine learning applied to aeronautics - in particular the design of blades and their aerothermal environments. I am also interested in electroaerodynamics.
For more info regarding my research, please check out my page: www.psesh.com
Scillitoe A, Seshadri P, Girolami M, 2021, Uncertainty quantification for data-driven turbulence modelling with Mondrian forests, Journal of Computational Physics, Vol:430, ISSN:0021-9991
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et al., 2020, Supporting multi-point fan design with dimension reduction, Aeronautical Journal, Vol:124, ISSN:0001-9240, Pages:1371-1398
et al., 2020, Spatial flow-field approximation using few thermodynamic measurements Part II: Uncertainty assessments, Journal of Turbomachinery
et al., 2020, Spatial flow-field approximation using few thermodynamic measurements Part I: formulation and area averaging, Journal of Turbomachinery, ISSN:0889-504X